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Paper Citation Record · LEDGER

QP-SNN: Quantized and Pruned Spiking Neural Networks

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.05905.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.05905 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:57:39.098683Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T10:46:17.279572Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation de04f556-a5c7-456d-b9b5-e8f92d1aeecf · inbound

SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network cites this paper.

SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network QP-SNN: Quantized and Pruned Spiking Neural Networks

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:46:17.282529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T10:42:49.800347Z digest=sha256:9f6dbe573da9aa3fbc1cac73774591bb4effdea3331169cfbbd142b21c2ef731

Observation c83826cf-5478-4ff8-9815-a46bc32b0ac7 · inbound

Quantization of Spiking Neural Networks Beyond Accuracy cites this paper.

Quantization of Spiking Neural Networks Beyond Accuracy QP-SNN: Quantized and Pruned Spiking Neural Networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:50:25.041444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T12:48:10.403053Z digest=sha256:3606f11f55fa897f64a32ddf96c689411f713b95172e0304889af2118a84a3fc

Observation f4e8312d-7359-43ed-9f54-7e1d5e7c77e2 · inbound

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks cites this paper.

Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks QP-SNN: Quantized and Pruned Spiking Neural Networks

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T06:57:39.098683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:57:39.098683Z digest=sha256:c491cbc6c1ff08d0ee4147e5a9ce90ab75481071de1c09a3ddb83c1c7642a0de